Analytical development and optimization of a graphene-solution interface capacitance model
Graphene, which as a new carbon material shows great potential for a range of applications because of its exceptional electronic and mechanical properties, becomes a matter of attention in these years. The use of graphene in nanoscale devices plays an important role in achieving more accurate and fa...
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Beilstein-Institut Zur Forderung der Chemischen Wissenschaften
2014
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Online Access: | http://eprints.utm.my/id/eprint/51849/1/RazaliIsmail2014_AnalyticalDevelopmentAndOptimization.pdf http://eprints.utm.my/id/eprint/51849/ http://dx.doi.org/10.3762/bjnano.5.71 |
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my.utm.518492018-08-27T03:41:24Z http://eprints.utm.my/id/eprint/51849/ Analytical development and optimization of a graphene-solution interface capacitance model Karimi, Hediyeh Rahmani, Rasoul Mashayekhi, Reza Ranjbari, Leyla Shirdel, Amir H. Haghighian, Niloofar Movahedi, Parisa Hadiyan, Moein Ismail, Razali Q Science Graphene, which as a new carbon material shows great potential for a range of applications because of its exceptional electronic and mechanical properties, becomes a matter of attention in these years. The use of graphene in nanoscale devices plays an important role in achieving more accurate and faster devices. Although there are lots of experimental studies in this area, there is a lack of analytical models. Quantum capacitance as one of the important properties of field effect transistors (FETs) is in our focus. The quantum capacitance of electrolyte-gated transistors (EGFETs) along with a relevant equivalent circuit is suggested in terms of Fermi velocity, carrier density, and fundamental physical quantities. The analytical model is compared with the experimental data and the mean absolute percentage error (MAPE) is calculated to be 11.82. In order to decrease the error, a new function of E composed of α and β parameters is suggested. In another attempt, the ant colony optimization (ACO) algorithm is implemented for optimization and development of an analytical model to obtain a more accurate capacitance model. To further confirm this viewpoint, based on the given results, the accuracy of the optimized model is more than 97% which is in an acceptable range of accuracy Beilstein-Institut Zur Forderung der Chemischen Wissenschaften 2014 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/51849/1/RazaliIsmail2014_AnalyticalDevelopmentAndOptimization.pdf Karimi, Hediyeh and Rahmani, Rasoul and Mashayekhi, Reza and Ranjbari, Leyla and Shirdel, Amir H. and Haghighian, Niloofar and Movahedi, Parisa and Hadiyan, Moein and Ismail, Razali (2014) Analytical development and optimization of a graphene-solution interface capacitance model. Beilstein Journal of Nanotechnology, 5 . pp. 603-609. ISSN 2190-4286 http://dx.doi.org/10.3762/bjnano.5.71 DOI: 10.3762/bjnano.5.71 |
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Q Science Karimi, Hediyeh Rahmani, Rasoul Mashayekhi, Reza Ranjbari, Leyla Shirdel, Amir H. Haghighian, Niloofar Movahedi, Parisa Hadiyan, Moein Ismail, Razali Analytical development and optimization of a graphene-solution interface capacitance model |
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Graphene, which as a new carbon material shows great potential for a range of applications because of its exceptional electronic and mechanical properties, becomes a matter of attention in these years. The use of graphene in nanoscale devices plays an important role in achieving more accurate and faster devices. Although there are lots of experimental studies in this area, there is a lack of analytical models. Quantum capacitance as one of the important properties of field effect transistors (FETs) is in our focus. The quantum capacitance of electrolyte-gated transistors (EGFETs) along with a relevant equivalent circuit is suggested in terms of Fermi velocity, carrier density, and fundamental physical quantities. The analytical model is compared with the experimental data and the mean absolute percentage error (MAPE) is calculated to be 11.82. In order to decrease the error, a new function of E composed of α and β parameters is suggested. In another attempt, the ant colony optimization (ACO) algorithm is implemented for optimization and development of an analytical model to obtain a more accurate capacitance model. To further confirm this viewpoint, based on the given results, the accuracy of the optimized model is more than 97% which is in an acceptable range of accuracy |
format |
Article |
author |
Karimi, Hediyeh Rahmani, Rasoul Mashayekhi, Reza Ranjbari, Leyla Shirdel, Amir H. Haghighian, Niloofar Movahedi, Parisa Hadiyan, Moein Ismail, Razali |
author_facet |
Karimi, Hediyeh Rahmani, Rasoul Mashayekhi, Reza Ranjbari, Leyla Shirdel, Amir H. Haghighian, Niloofar Movahedi, Parisa Hadiyan, Moein Ismail, Razali |
author_sort |
Karimi, Hediyeh |
title |
Analytical development and optimization of a graphene-solution interface capacitance model |
title_short |
Analytical development and optimization of a graphene-solution interface capacitance model |
title_full |
Analytical development and optimization of a graphene-solution interface capacitance model |
title_fullStr |
Analytical development and optimization of a graphene-solution interface capacitance model |
title_full_unstemmed |
Analytical development and optimization of a graphene-solution interface capacitance model |
title_sort |
analytical development and optimization of a graphene-solution interface capacitance model |
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Beilstein-Institut Zur Forderung der Chemischen Wissenschaften |
publishDate |
2014 |
url |
http://eprints.utm.my/id/eprint/51849/1/RazaliIsmail2014_AnalyticalDevelopmentAndOptimization.pdf http://eprints.utm.my/id/eprint/51849/ http://dx.doi.org/10.3762/bjnano.5.71 |
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